Operations | Monitoring | ITSM | DevOps | Cloud

Platform, SRE, and security are three distinct functions in modern engineering orgs, each shaped by a different problem. SRE was the operations function's answer to scale: how to keep systems reliable when the systems get big. Platform answered a different problem: how to let developers ship without becoming infrastructure experts. Security drew the line on what could safely reach production.

Last month, an AI agent running inside Cursor wiped PocketOS's entire production database, including its backups, in roughly nine seconds. The agent found an API token in an unrelated file, originally created for managing custom domains, and used that token to execute the deletion. The backups sat inside the same blast radius as the database the agent was operating against. Nine months earlier, a Replit AI agent had done the same thing to a SaaStr database during a designated code freeze.

Two weeks before the audit, the Slack messages start. Get me a screenshot of this. Can you screenshot the CI/CD logs? Can you add the artifact names that were deployed to production and when, and when the incident happened? Senior engineers stop shipping. A spreadsheet appears. The product roadmap goes on hold while four people chase down ownership data and evidence that should have existed all along. This fire drill is the symptom of an operating model problem.

When you stood up your platform team, you probably spent more time on the org chart than on what to name it. Reporting lines, headcount, scope of the first charter, those felt like the real decisions. The name was administrative. Something to put in Slack and the directory and forget about. That was the most consequential decision you made. The name you give a platform team isn't just branding. It's a scope declaration.